Analyzing P300 Distractors for Target Reconstruction-Reference-Cited by-同舟云学术

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Analyzing P300 Distractors for Target Reconstruction

Published:2018-07 Issue: Volume: Page:
ISSN:
Container-title:2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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Author:

McDaniel Jonathan R.,Gordon Stephen M.,Solon Amelia J.,Lawhern Vernon J.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8471725/8512178/08512854.pdf?arnumber=8512854

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Decoding neural activity to assess individual latent state in ecologically valid contexts;Journal of Neural Engineering;2023-08-01

2. Deep Transformer Network and CNN Model with About 200k Parameters to Classify P300 EEG Signal;2023 IEEE International Conference on Smart Information Systems and Technologies (SIST);2023-05-04

3. Assessing Temporal Variability in Fixation-Locked P300 Responses during Free-Viewing Visual Search;2023 11th International IEEE/EMBS Conference on Neural Engineering (NER);2023-04-24

4. Modeling the Relationship Between Cognitive State and Task Performance in Passive BCIs using Cross-Dataset Learning;2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2020-10-11

5. Passive Brain-Computer Interfaces for Enhanced Human-Robot Interaction;Frontiers in Robotics and AI;2020-10-02

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